Recent Advances in General Game Playing

Author:

Świechowski Maciej1,Park HyunSoo2,Mańdziuk Jacek3,Kim Kyung-Joong2

Affiliation:

1. Systems Research Institute, Polish Academy of Sciences, Ulica Newelska 6, 01-447 Warsaw, Poland

2. Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea

3. Faculty of Mathematics and Information Science, Warsaw University of Technology, Ulica Koszykowa 75, 00-662 Warsaw, Poland

Abstract

The goal of General Game Playing (GGP) has been to develop computer programs that can perform well across various game types. It is natural for human game players to transfer knowledge from games they already know how to play to other similar games. GGP research attempts to design systems that work well across different game types, including unknown new games. In this review, we present a survey of recent advances (2011 to 2014) in GGP for both traditional games and video games. It is notable that research on GGP has been expanding into modern video games. Monte-Carlo Tree Search and its enhancements have been the most influential techniques in GGP for both research domains. Additionally, international competitions have become important events that promote and increase GGP research. Recently, a video GGP competition was launched. In this survey, we review recent progress in the most challenging research areas of Artificial Intelligence (AI) related to universal game playing.

Funder

National Research Foundation of Korea

Publisher

Hindawi Limited

Subject

General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference38 articles.

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